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The general concept of separation of concerns (SoCs) aims at reducing the complexity of systems by identifying and encapsulating different system properties into separate coherent modules. AspectOriented Software Development (AOSD) applies the notion of SOC to effectively deal with crosscutting concerns that may induce high complexity when implementing and evolving software systems. However, for AOSD to be effective, aspects must be dealt with in early development phases (i.e., analysis and requirements) in order to guide the design phase. A major challenge in AOSD is the discovery and modeling of aspects in the requirements analysis phase. This paper introduces a new technique to identify and model, candidate aspects in requirements, and propagate them to the design phase. The proposed technique achieves this by analyzing the system along two dimensions, namely, function/non-functions requirements and the enduring concepts in system. To the best of our knowledge, the approach proposed in this paper is the first to identify crosscutting concerns with respect to the structure of the system. The technique is fully specified and its use is demonstrated by the means of a case study.

Big Data represents the greatest game-changing chance and change in outlook for marketing since the creation of the telephone or the Web going standard. Big Data alludes to the ever-expanding volume, velocity, variety, variability and multifaceted nature of data. Big Data is the key result of the new promoting scene, conceived from the computerized world we currently live in for marketing associations. The expression "big data" doesn't simply allude to the information itself; it additionally alludes to the difficulties, capacities and skills related with putting away and examining such gigantic data sets to help a degree of decision-making that is more precise and timely than anything recently endeavored. Because of the many benefits of big data, the big data applications have appeared, and they can play important roles especially in making companies take informative business decisions in different fields, such as, healthcare, banking, manufacturing, media and entertainment, education and transportation and many others. This paper concentrates on the importance of Big Data Analytics nowadays, especially in the marketing process inside companies, as well as challenges and obstacles facing Big Data analytics, and a case study of a bank wanting to market a new financial tool to its customers is studied using R tool.

Big data is a well-known concept today, as most of the data on the internet is considered big data. Also, big data is concerned with data with a huge size, velocity, variety, and veracity. Big data presents many challenges, especially for companies on how to deal with it, regarding benefiting from it through the use analytics and at the same time preserving its security. So, this chapter covers many of the challenges that big data brings regarding analytics and security and how to find solutions to these two issues. And these solutions can be applied in real-life use cases.

This study reports a rare case of broad ligament abdominal ectopic pregnancy (EP). Interventions included preoperative transabdominal and transvaginal ultrasonography and operative laparoscopy. Successful extraction of the EP, followed by suturing of the mesosalpinx, was performed. Laparoscopic fertility-preservation treatment of broad ligament EP is valuable for women during the childbearing period.